基于Haar小波变换的无失真图像压缩  

Lossless Image Compression Based on Haar Multiresolution Representation

作　　者：肖忠[1] 刘钊[1] 向敬成[1] 

机构地区：[1]电子科技大学电子工程学院,成都610054

出　　处：《电子科技大学学报》2000年第5期475-478,共4页Journal of University of Electronic Science and Technology of China

基　　金：电子部预研基金

摘　　要：提出了一种利用Ｈａａｒ小波进行图像无失真压缩的算法。对线性预测后的图像进行Ｈａａｒ小波分解，将各子带小波系数根据大小分解成两部分，其位置信息分别通过自适应算术编码进行了有效的压缩。试验结果表明，该算法实现简单，达到了很好的压缩效果。This paper presents a new algorithm that utilizes wavelet for lossless compression. Based on linear prediction and Haar multiresolution representation, the wavelet coefficients are divided into two parts according to their values. Those two parts and the location information of decomposing will be compressed effectively by arithmetic coding respectively. Experimental results show that the new algorithm is very practical especially for lossless compression.

关 键 词：无失真编码 HAAR小波 图像压缩 小波变换 

分 类 号：TN919.81[电子电信—通信与信息系统]